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How to build your own Speech-to-Text Transcription App in Python using AssemblyAI and Streamlit
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Streamlit (Web Application in Python) - How to build your own Speech-to-Text Transcription App in Python using AssemblyAI and Streamlit

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This course includes

  • 13.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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In this video, you will learn how to build your own Speech-to-Text Transcription App in Python using the AssemblyAI API. In brief, AssemblyAI is a speech-to-text API that we will use for transcribing YouTube videos that we will download via the pytube Python library. Finally, we will deploy this as a command line tool and a web app using argparse and Streamlit, respectively. 🐙 GitHub repo: https://github.com/dataprofessor/transcriber-app 🌟 Thanks AssemblyAI for sponsoring this video. Get your free API key https://www.assemblyai.com/?utm_source=youtube&utm_medium=social&utm_campaign=dataprofessor Timeline 0:00 Introduction 0:37 About AssemblyAI 2:14 Using AssemblyAI for transcription on Colab 2:23 Obtaining the API key 11:39 Building the Transcriber command line tool 17:48 Building the Transcriber web app using Streamlit Support my work: 👪 Join as Channel Member: https://www.youtube.com/channel/UCV8e2g4IWQqK71bbzGDEI4Q/join ✉️ Newsletter http://newsletter.dataprofessor.org 📖 Join Medium to Read my Blogs https://data-professor.medium.com/membership ☕ Buy me a coffee https://www.buymeacoffee.com/dataprofessor Recommended Resources 📚 Books https://kit.co/dataprofessor 😎 Taro (Tech Career Mentorship) https://www.jointaro.com/r/dataprofessor/ 📜 Google Data Analytics Professional Certificate https://imp.i384100.net/google-data-analytics 🤔 Interview Query https://www.interviewquery.com/?ref=dataprofessor 🖥️ Stock photos, graphics and videos used on this channel https://1.envato.market/c/2346717/628379/4662 Subscribe: 🌟 Coding Professor https://www.youtube.com/channel/UCJzlfIoF8nmWqJIv_iWQVRw?sub_confirmation=1 🌟 Data Professor https://www.youtube.com/dataprofessor?sub_confirmation=1 Disclaimer: Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents. #AssemblyAI #transcription #speechtotext #dataprofessor

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